New answers tagged categorical-data
1
vote
Accepted
How to deal with categorical disalignment in test and train in binary classification problems
This is a very common scenario, to overcome this you can use one hot encoding for your categorical variable - sklearn.preprocessing.OneHotEncoder
One hot encoding ...
0
votes
How can Time Series Analysis be done with Categorical Variables
I have splitted the periods not in fixed time windows, but in dynamic ones. Eg. If we take @Ricardo's Alerts, I would take the values of all the variables from that "period". The table ...
Top 50 recent answers are included
Related Tags
categorical-data × 398machine-learning × 104
python × 60
classification × 46
scikit-learn × 44
categorical-encoding × 39
regression × 38
encoding × 35
clustering × 34
r × 28
feature-engineering × 25
feature-selection × 24
one-hot-encoding × 23
dataset × 20
predictive-modeling × 19
preprocessing × 19
neural-network × 18
pandas × 18
decision-trees × 18
data-cleaning × 16
correlation × 16
time-series × 15
logistic-regression × 14
random-forest × 13
data-mining × 12